#!/bin/bash
  
  # This is GPU based pnorm neural net ensemble training on top of adapted 40-dimensional features.
  
  parallel_opts="--gpu 1" 
  
  . ./cmd.sh
  
  dir=exp/nnet4e_gpu
  (  steps/nnet2/train_pnorm_ensemble.sh  --num-epochs 20 \
       --num-jobs-nnet 4 --num-threads 1 --parallel-opts "$parallel_opts" \
       --num-epochs-extra 10 --add-layers-period 1 \
       --num-hidden-layers 2 \
       --mix-up 4000 \
       --initial-learning-rate 0.02 --final-learning-rate 0.004 \
       --cmd "$decode_cmd" \
       --pnorm-input-dim 1000 \
       --pnorm-output-dim 200 \
       --combine-regularizer 1.0e-12 \
       --ensemble-size 4 --initial-beta 0.1 --final-beta 5 \
       data/train data/lang exp/tri3b_ali $dir 
  
     steps/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 20 \
       --transform-dir exp/tri3b/decode \
       exp/tri3b/graph data/test $dir/decode 
  
     steps/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 20 \
       --transform-dir exp/tri3b/decode_ug \
       exp/tri3b/graph_ug data/test $dir/decode_ug
  
  )